Adaptive Multiple-Band CFAR (Constant-False-Alarm-Rate) Detection of an Optical Pattern with Unknown Spectral Distribution

Abstract

A generalized constant false-alarm rate (CFAR) algorithm is developed for detecting the presence of an optical signal of non-zero intensity in J signal-plus-noise bands or channels. For many applications this new algorithm is more flexible and practical than previous ones. If J=1, the resulting test reduces to the standard normalized matched filter test for finding a signal in clutter of unknown and varying intensity. Both theoretical and computer simulation results show that the SNR improvement gain of this new algorithm using multiple band scenes over the single scene of maximum SNR is always greater than one and in some cases it can be substantial. The data base used to simulate this new adaptive CFAR test are actual LANDSAT image scenes. The present results for optical detection are extendable to radar target detection and to other related detection problems. Keywords: Detection algorithm; Multiple band scenes; Infrared target detection; Clutter noise; LANDSAT image tests. (JHD)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1989
Accession Number
ADA214754

Entities

People

  • Irving S. Reed
  • Robert Gagliardi

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Simulations
  • Databases
  • Detection
  • Detectors
  • False Alarms
  • Filters
  • Information Processing
  • Intensity
  • Matched Filters
  • Optical Detection
  • Probability Density Functions
  • Radar Targets
  • Simulations
  • Target Detection
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Radar Systems Engineering.
  • Statistical inference.